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| 六棱大麦抗赤霉病QTL的定位(英文) | |
| 引用本文： | 张立异,陈天青,MARCHAND S,BELZILE F,张爱民.六棱大麦抗赤霉病QTL的定位(英文)[J].麦类作物学报,2015,35(3):324-333. |
| 作者姓名： | 张立异 陈天青 MARCHAND S BELZILE F 张爱民 |
| 作者单位： | 1. 贵州省旱粮研究所,贵州贵阳,550006 2. Department of Phytology,Laval University,Québec(QC)G1K 7P4,Canada 3. 植物细胞与染色体工程国家重点实验室/中国科学院遗传与发育生物学研究所,北京,100014 |
| 基金项目： | 贵州省国际科技合作计划项目(黔科合外G［2013］7039号）；贵州省留学人员科技活动项目（黔人项目资助合同［2013］01号）；贵州省农科院专项（黔农科院专项［2010］003号） |
| 摘 要： | 赤霉病是最严重的大麦病害之一。由于赤霉病抗性是受多基因控制的数量性状(QTL),并且一些表型性状也影响大麦赤霉病的抗病,如棱数、株高和抽穗期等,所以抗赤霉病大麦品种的选育十分困难。为了明确加拿大六棱大麦中赤霉病抗性以及相关性状的QTLs,本研究在4年中对93个家系的DH作图群体中赤霉病抗性、呕吐毒素(DON)含量、株高、抽穗期和成熟期等相关性状进行调查,并利用分子标记(444个DArT和26个SSR标记)构建的连锁图谱对QTL开展复合区间作图。结果表明,本研究共检测到4个影响赤霉病的QTLs,其中,2个主要的QTLs定位在3H和7H染色体上,它们的加性效应为-3.44和-3.69,分别解释14.1%和17.5%的表型差异,总共解释31.6%的赤霉病抗性差异;另外2个QTLs定位于7H染色体上,但二者同时也与DON含量显著相关。此外,在3H、5H和7H染色体上确定了5个影响株高的QTLs,在2H、4H、5H和7H上确定了4个影响抽穗期的QTLs。同时发现2个赤霉病抗性QTLs和1个DON累积QTL与控制株高的QTLs聚集重叠,1个赤霉病抗性QTL和抽穗期QTLs重叠。这些与赤霉病抗性、株高及抽穗期等农艺性状紧密连锁的分子标记可进一步用于有效提高抗赤霉病大麦品种的选育效率。 |
| 关 键 词： | 大麦 赤霉病 呕吐霉素 DArT标记 QTL 复合区间作图 |
QTL Mapping of Fusarium Head Blight Resistance in Six row Barley Using DArT and SSR Markers |
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| ZHANG Liyi,CHEN Tianqing,S MARCHAND,F BELZILE,ZHANG Aiming.QTL Mapping of Fusarium Head Blight Resistance in Six row Barley Using DArT and SSR Markers[J].Journal of Triticeae Crops,2015,35(3):324-333. | |
| Authors: | ZHANG Liyi CHEN Tianqing S MARCHAND F BELZILE ZHANG Aiming |
| Institution: | ZHANG Liyi;CHEN Tianqing;S MARCH;F BELZILE;ZHANG Aiming;Guizhou Institute of Upland Crops;Department of Phytology,Laval University;The State Key Laboratory of Plant Cell and Chromosome Engineering/Institute of Genetics and Developmental Biology,Chinese Academy of Sciences; |
| Abstract: | Fusarium head blight (FHB) is one of the most serious diseases in barley (Hordeum vulgare L.) production worldwide. The development of barley cultivars with resistance to FHB is difficult due to the complex inheritance pattern of FHB resistance. Additionally,morphological traits,such as row number,height,and heading date,have been shown to influence the resistance phenotype and can render the identification of quantitative trait loci (QTLs) contributing to disease resistance complex. In order to identify QTLs for FHB resistance and other relative traits,in this work,five traits,including FHB resistance,deoxynivalenol level (DON),plant height,heading date and maturity,were measured for up to 4 years on a doubled haploid (DH) mapping population of 93 recombinant inbred lines (RILs). And a linkage map was constructed with molecular markers (444 DArTs and 26 SSRs) and used to perform composite interval mapping of the traits. Four QTLs were found to be associated with FHB at a genome wide significance of 5%. Two major QTLs were mapped on chromosomes 3H and 7H. They had additive values of -3.44 and -3.69,and explained 14.1% and 17.5% of the phenotypic variation,respectively,and together accounted for 31.6% of the total variation for FHB resistance. The other two QTLs located on chromosome 7H were found to be significantly associated with DON level. Moreover,we identified five QTLs for plant height on chromosomes 3H,5H,and 7H,and four QTLs for heading date on chromosomes 2H,4H,5H,and 7H. Among them,two QTLs for FHB resistance and a QTL for DON accumulation were overlapped with those for plant height,and one overlap was observed between QTLs for FHB resistance and heading date. Thus,use of these markers closely linked to the QTLs,together with the morphology (such as height),will facilitate the selection of resistance to FHB in barley. |
| Keywords: | Barley Fusarium head blight Deoxynivalenol level(DON) Diversity arrays technology(DArT) Quantitative trait locus(QTL) Composite interval mapping |
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